code: def test_dimensions(self, device, dtype):
      height = 5
      width = 4
      num_ray_points = 7
      rgbs = torch.rand(
          (height, width, num_ray_points, 3), dtype=dtype, device=device
      )
      densities = torch.rand(
          (height, width, num_ray_points, 1), dtype=dtype, device=device
      )
  
      points3d = _create_regular_point_cloud(
          height, width, num_ray_points, device=device, dtype=dtype
      )
  
      irreg_renderer = IrregularRenderer()
      rgb_rendered = irreg_renderer(rgbs, densities, points3d)
      assert rgb_rendered.shape == (height, width, 3)
  
file_path: kornia/test/nerf/test_renderer.py
imports: import math
  import torch
  from kornia.core import Device, Tensor
  from kornia.nerf.volume_renderer import IrregularRenderer, RegularRenderer
  from kornia.testing import assert_close
label_desc: Use image node_id 1 for calling the TestRenderer obj's underlying member method code with example usage: obj.test_dimensions(device, dtype) without return types